3 papers
cs.AI2021
Combining Sub-Symbolic and Symbolic Methods for Explainability
Anna Himmelhuber, Stephan Grimm, Sonja Zillner +3
Similarly to other connectionist models, Graph Neural Networks (GNNs) lack transparency in their decision-making. A number of sub-symbolic approaches have been developed to provide…
cs.AI2021
Ontology-Based Skill Description Learning for Flexible Production Systems
Anna Himmelhuber, Stephan Grimm, Thomas Runkler +1
The increasing importance of resource-efficient production entails that manufacturing companies have to create a more dynamic production environment, with flexible manufacturing ma…
cs.HC2017
Design and Implementation of a Semantic Dialogue System for Radiologists
Daniel Sonntag, Martin Huber, Manuel Möller +3
This chapter describes a semantic dialogue system for radiologists in a comprehensive case study within the large-scale MEDICO project. MEDICO addresses the need for advanced seman…